Triple

T29725822
Position Surface form Disambiguated ID Type / Status
Subject Ocean Wise Conservation Association E752175 entity
Predicate notableProgram P4 FINISHED
Object Great Canadian Shoreline Cleanup
The Great Canadian Shoreline Cleanup is a nationwide conservation initiative that mobilizes volunteers to remove litter and collect data from shorelines across Canada to protect aquatic ecosystems.
 E1880887 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Great Canadian Shoreline Cleanup | Statement: [Ocean Wise Conservation Association, notableProgram, Great Canadian Shoreline Cleanup]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Great Canadian Shoreline Cleanup
Triple: [Ocean Wise Conservation Association, notableProgram, Great Canadian Shoreline Cleanup]
Generated description
The Great Canadian Shoreline Cleanup is a nationwide conservation initiative that mobilizes volunteers to remove litter and collect data from shorelines across Canada to protect aquatic ecosystems.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672ff16a08190b8840351bef56f55 completed May 2, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26aa81d44c8190ba6a2764ab936e05 completed June 8, 2026, 11:41 a.m.
NEDg Description generation batch_6a26b058df8c819092e2cd55bf17a5cb completed June 8, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_6a26b495ec448190ac88779dae9a72dc completed June 8, 2026, 12:24 p.m.
Created at: April 28, 2026, 7:39 p.m.